Came across the following exercise in Bartle's Elements of Real Analysis.
Let $X= (x_n)$ be a sequence of strictly positive real numbers, let $\lim \left({ \dfrac{x_{n + 1}}{x_n}}\right) = L$, and let $0 \lt \epsilon \lt L$.
Show that there exists $A \gt 0$ , $B \gt 0$ and $K \in \Bbb N$ such that $A(L - \epsilon)^n \le x_n \le B(L + \epsilon)^n$ for $n \ge K$. Then show that $\lim (\sqrt[n]{x_n}) = L$.
I think I've arrived at a solution but I'm sure there is a better way and this is what I seek. I would be grateful if someone could point me in the right direction.
The existence of $A = \dfrac {x_K}{(L - \epsilon)^K } \gt 0$ and $B = \dfrac {x_K}{(L + \epsilon)^K } \gt 0$ was easy enough to prove and now I need to prove the limit of $(\sqrt[n]{x_n})$ and I think I've taken a rather ugly route***.
For $n \ge K$
$$A(L - \epsilon)^n \le x_n \le B(L + \epsilon)^n$$
$$\sqrt[n]A(L - \epsilon) \le \sqrt[n]{x_n} \le \sqrt[n]B(L + \epsilon)$$
I had to do quite a few other things to prove that for positive $a$, $ \; \; \lim (a^{\frac 1 n}) = 1$ and hence by the above inequality arrive at $$\lim \left({\sqrt[n]A(L - \epsilon)}\right) \le \lim \left({\sqrt[n]{x_n}}\right) \le \lim \left({\sqrt[n]B(L + \epsilon)}\right)$$
$$ (L - \epsilon) \le \lim \left({\sqrt[n]{x_n}}\right) \le (L + \epsilon) $$ $$ \left|{\lim \left({\sqrt[n]{x_n}}\right) - L}\right| \le \epsilon $$
From here I argued that since the latter inequality can be made true for any $\epsilon \gt 0$ however small it must follow that $\lim \left({\sqrt[n]{x_n}}\right) = L$
Like I said I'm sure there is a better approach from the position marked ***. Would be grateful if someone could point me to it.